FullBipartiteConnection

Value Members

1. final def !=(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

2. final def !=(arg0: Any): Boolean

   Definition Classes

   Any

3. final def ##(): Int

   Definition Classes

   AnyRef → Any

4. def *(d: Double): MatrixParameterizedLayer

   Definition Classes

   MatrixParameterizedLayer → VectorSpace

5. def +(other: Layer): MatrixParameterizedLayer

   Definition Classes

   MatrixParameterizedLayer → VectorSpace

6. def -(other: Layer): MatrixParameterizedLayer

   Definition Classes

   MatrixParameterizedLayer → VectorSpace

7. def /(d: Double): MatrixParameterizedLayer

   Definition Classes

   MatrixParameterizedLayer → VectorSpace

8. final def ==(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

9. final def ==(arg0: Any): Boolean

   Definition Classes

   Any

10. def activityColorscheme: (Double) ⇒ Int

    Color map for the activities

    Color map for the activities

    Definition Classes

    Layer

11. def activityShape: Option[(Int, Int)]

    Optionally, one can specify how to reshape the neuron activities for visualization (height, width).

    Optionally, one can specify how to reshape the neuron activities for visualization (height, width).

    Definition Classes

    Layer

12. final def asInstanceOf[T0]: T0

    Definition Classes

    Any

13. def build(newParams: Mat): FullBipartiteConnection

    Definition Classes

    FullBipartiteConnection → MatrixParameterizedLayer

14. var cachedInput: Mat

    Attributes

    protected

15. def clone(): AnyRef

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

16. def copy: FullBipartiteConnection

17. def dot(other: Layer): Double

    Definition Classes

    MatrixParameterizedLayer → VectorSpace

18. final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

19. def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

20. def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

21. final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

22. def gradAndBackpropagationError(backpropagatedError: Mat): (FullBipartiteConnection, Mat)

    Returns the gradient (Layer-valued) and the backpropagated error, which is passed to the layer below.

    Returns the gradient (Layer-valued) and the backpropagated error, which is passed to the layer below.

    This method can rely on the fact that the propagate method already has been called in the first pass.

    backpropagatedError

    error propagated from above, formatted the same way (one row for each example) as input and output

    returns

    gradient (Layer-valued) and the next backpropagated error

    Definition Classes

    FullBipartiteConnection → Layer

23. def hashCode(): Int

    Definition Classes

    AnyRef → Any

24. val inputDimension: Int

    Definition Classes

    FullBipartiteConnection → Layer

25. def isInfinite: Boolean

    Definition Classes

    MatrixParameterizedLayer → VectorSpace

26. final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

27. def isInvalid: Boolean

    Definition Classes

    MatrixParameterizedLayer → VectorSpace

28. def isNaN: Boolean

    Definition Classes

    MatrixParameterizedLayer → VectorSpace

29. final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

30. def norm: Double

    Definition Classes

    VectorSpace

31. def normSq: Double

    Definition Classes

    VectorSpace

32. def normalized: Layer

    Definition Classes

    VectorSpace

33. final def notify(): Unit

    Definition Classes

    AnyRef

34. final def notifyAll(): Unit

    Definition Classes

    AnyRef

35. val outputDimension: Int

    Definition Classes

    FullBipartiteConnection → Layer

36. val parameters: Mat

    Definition Classes

    MatrixParameterizedLayer

37. def propagate(input: Mat): Mat

    Returns the output given the input.

    Returns the output given the input. This method can cache data that could be useful on the second pass of the backpropagation.

    The input contains one example in each row, the output shall have the same layout.

    Definition Classes

    FullBipartiteConnection → Layer

38. def reinitialize(weightScale: Double): FullBipartiteConnection

39. def reverseLayer: FullBipartiteConnection

    Creates a new independent layer that has the same type as this one, but propagates the information in reverse direction

    Creates a new independent layer that has the same type as this one, but propagates the information in reverse direction

    Definition Classes

    FullBipartiteConnection → Layer

40. def reversePropagate(output: Mat): Mat

    Returns the result of signal propagation in reverse direction

    Returns the result of signal propagation in reverse direction

    Definition Classes

    FullBipartiteConnection → Layer

41. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

    AnyRef

42. def toImage: BufferedImage

    Definition Classes

    MatrixParameterizedLayer → Visualizable

43. def toImage(w: Int, h: Int): BufferedImage

    Definition Classes

    Visualizable

44. def toImage(colormap: (Double) ⇒ Int): BufferedImage

    Definition Classes

    Visualizable

45. def toString(): String

    Definition Classes

    FullBipartiteConnection → AnyRef → Any

46. def unary_-: MatrixParameterizedLayer

    Definition Classes

    MatrixParameterizedLayer → VectorSpace

47. def visualizeActivity(activity: Mat): BufferedImage

    Definition Classes

    Layer

48. final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

49. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

50. final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

51. def zero: MatrixParameterizedLayer

    Definition Classes

    MatrixParameterizedLayer → VectorSpace